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Record W2774158596 · doi:10.1130/abs/2017am-303664

TROPHIC PROFILING OF THE MOUTH OF THE GENESEE RIVER AT LAKE ONTARIO AS FUNCTION OF SEASONALITY AND DETERMINATION OF GREEN ALGAE AND BLUE GREEN ALGAE USING THE LANDSAT IMAGES

2017· article· en· W2774158596 on OpenAlexaboutno aff
Gannon Connors, Padmini Das, David Giacherio, Sarah Izzo, Jacob Murphy, Alyssa Merrill, Daryn Loy, Shane Fuentes, Emilee Hyde, Anthony Vodacek, Ryan Ford, Nina Raqueño, Ivan Gergi, Eileen Pelkey, Emma Hornack, Aubrey Ahern, Mustafa Ahmed, Davy Brooks, Sarah Cavacos, Jaun Justiniano, Giannette Kokkoris, Matthew Kwok, Austin Martinez, Claire Narang, Natalie O'Hern, Rahul Ribeiro, Chris Ryder, Caroline Schmitz, Aditi Seshadri, Anjana Seshadri, Rachel Stein, Sophie Stolberg, Oksana Sushko, Aditya Tangirala, Audrey Vinton, Catherine Wu, Alyssa Zaft, Selena Zhang, Jane Shebert, Stephanie Zamule

Bibliographic record

VenueAbstracts with programs - Geological Society of America · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAquatic and Environmental Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlgaeSeasonalityBlue green algaeEnvironmental scienceGeographyOceanographyGeologyEcologyBiologyCyanobacteriaPaleontology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.221
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractno

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